
% Table created by stargazer v.5.2.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Mon, Feb 14, 2022 - 11:10:52 AM
\begin{table}[!htbp] \centering 
\resizebox{1\linewidth}{!}{
  \label{tab:don_lob_linear} 
\begin{tabular}{@{\extracolsep{3pt}}lcccccccc} 
\\[-1.8ex]\hline 
\hline \\[-1.8ex] 
 & \multicolumn{8}{c}{\textit{Dependent variable:}} \\ 
\cline{2-9} 
\\[-1.8ex] & \multicolumn{8}{c}{Lobbying Legislative Activity$_{t}$)} \\ 
\\[-1.8ex] & (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8)\\ 
\hline \\[-1.8ex] 
 $Donation_{t}$ & 0.042$^{***}$ & 0.042$^{***}$ & 0.043$^{***}$ & 0.024$^{***}$ &  &  &  &  \\ 
  & (0.006) & (0.006) & (0.006) & (0.005) &  &  &  &  \\ 
  & & & & & & & & \\ 
 $Donation\;Amount_{t}$ &  &  &  &  & 0.006$^{***}$ & 0.006$^{***}$ & 0.006$^{***}$ & 0.003$^{***}$ \\ 
  &  &  &  &  & (0.001) & (0.001) & (0.001) & (0.001) \\ 
  & & & & & & & & \\ 
 $Majority_{t}$ & 0.007$^{***}$ & 0.005$^{***}$ & 0.004$^{***}$ & 0.004$^{***}$ & 0.007$^{***}$ & 0.005$^{***}$ & 0.004$^{***}$ & 0.004$^{***}$ \\ 
  & (0.0004) & (0.0004) & (0.0004) & (0.0004) & (0.0004) & (0.0004) & (0.0004) & (0.0004) \\ 
  & & & & & & & & \\ 
 $Democrat_{t}$ & 0.004$^{***}$ & 0.002$^{***}$ & 0.063$^{***}$ & 0.063$^{***}$ & 0.004$^{***}$ & 0.002$^{***}$ & 0.063$^{***}$ & 0.063$^{***}$ \\ 
  & (0.0005) & (0.0003) & (0.003) & (0.003) & (0.0005) & (0.0003) & (0.003) & (0.003) \\ 
  & & & & & & & & \\ 
 $Committee\;Chair_{t}$ & $-$0.003$^{***}$ & $-$0.002$^{***}$ & 0.0002 & 0.0002 & $-$0.003$^{***}$ & $-$0.002$^{***}$ & 0.0002 & 0.0002 \\ 
  & (0.0003) & (0.0003) & (0.0003) & (0.0003) & (0.0003) & (0.0003) & (0.0003) & (0.0003) \\ 
  & & & & & & & & \\ 
 $Powerful\;Committee_{t}$ & 0.010$^{***}$ & 0.010$^{***}$ & 0.011$^{***}$ & 0.011$^{***}$ & 0.010$^{***}$ & 0.010$^{***}$ & 0.011$^{***}$ & 0.011$^{***}$ \\ 
  & (0.001) & (0.001) & (0.001) & (0.001) & (0.001) & (0.001) & (0.001) & (0.001) \\ 
  & & & & & & & & \\ 
\hline \\[-1.8ex] 
Firm FEs & $\checkmark$ & $\checkmark$ & $\checkmark$ &  & $\checkmark$ & $\checkmark$ & $\checkmark$ &  \\ 
Year FEs &  & $\checkmark$ & $\checkmark$ & $\checkmark$ &  & $\checkmark$ & $\checkmark$ & $\checkmark$ \\ 
Politician FEs &  &  & $\checkmark$ &  &  &  & $\checkmark$ &  \\ 
Firm-Politician FEs &  &  &  & $\checkmark$ &  &  &  & $\checkmark$ \\ 
Observations & 16,434,912 & 16,434,912 & 16,434,912 & 16,434,912 & 16,434,912 & 16,434,912 & 16,434,912 & 16,434,912 \\ 
Adjusted R$^{2}$ & 0.568 & 0.570 & 0.572 & 0.638 & 0.568 & 0.570 & 0.572 & 0.638 \\ 
\hline 
\hline \\[-1.8ex] 
\textit{Note:}  & \multicolumn{8}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
\end{tabular} 
}
\caption{Firm and Employee Donations and Lobbying of Specific Politicians, Full Results: The level of analysis is the firm-politician-year, and the data include all publicly traded manufacturing firms (NAICS 2-digit codes 31-33) and members of Congress between 2008 and 2017. The dependent variable is a dummy which equals 1 if firm $i$ lobbied the legislative activity of a politician $j$ in year $t$. $Donationt$ equals 1 if firm $i$ donated to a politician $j$ for the first time in year $t$, and 0 otherwise, whereas $Donation Amount_{t}$ is the logged amount of the first-time donation. The coefficients come from ordinary least squares regressions, using combinations of firm, politician, year, and firm-politician fixed effects. All models control for politician partisanship, majority status, committee chairmanship, and being member of the top 4 powerful committees. The standard errors are clustered by firm.} 
\end{table} 
